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Nanodegree Program

AI Programming with Python

Learn Python, NumPy, Pandas, Matplotlib, PyTorch, Calculus, and Linear Algebra—the foundations for building your own neural network.

  • Estimated Time
    3 Months

    At 10 hrs/week

  • Enroll by
    August 27, 2019

    Get access to classroom immediately on enrollment

  • Prerequisites
    Basic Algebra and Programming Knowledge

    See prerequisites in detail

What You Will Learn

Download Syllabus

Learn AI Fundamentals

Learn the essential foundations of AI: the programming tools (Python, NumPy, PyTorch), the math (calculus and linear algebra), and the key techniques of neural networks (gradient descent and backpropagation).

Learn the essential foundations of AI: the programming tools, the math, and the key techniques.

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3 months to complete

Prerequisite Knowledge

Formal prerequisites include basic knowledge of algebra, and basic programming in any language.See detailed requirements.

  • Introduction to Python

    Start coding with Python, drawing upon libraries and automation scripts to solve complex problems quickly.

    Use a Pre-trained Image Classifier to Identify Dog Breeds
  • Jupyter Notebooks, NumPy, Anaconda, Pandas, and Matplotlib

    Learn how to use all the key tools for working with data in Python: Jupyter Notebooks, NumPy, Anaconda, Pandas, and Matplotlib.

  • Linear Algebra Essentials

    Learn the foundational linear algebra you need for AI success: vectors, linear transformations, and matrices—as well as the linear algebra behind neural networks.

  • Calculus Essentials

    Learn the foundations of calculus to understand how to train a neural network: plotting, derivatives, the chain rule, and more. See how these mathematical skills visually come to life with a neural network example.

  • Neural Networks

    Gain a solid foundation in the hottest fields in AI: neural networks, deep learning, and PyTorch.

    Create Your Own Image Classifier
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AI-enabled tools will generate $2.9 trillion in business value by 2021

All Our Nanodegree Programs Include:

Real-world projects from industry experts

With real world projects and immersive content built in partnership with top tier companies, you’ll master the tech skills companies want.

1-on-1 technical mentor

Get a knowledgeable mentor who guides your learning and is focused on answering your questions, motivating you and keeping you on track.

Personal career coach and career services

You’ll have access to career coaching sessions, interview prep advice, and resume and online professional profile reviews to help you grow in your career.

Flexible learning program

Get a custom learning plan tailored to fit your busy life. Along with easy monthly payments you can learn at your own pace and reach your personal goals.
Program offeringsFull list of offerings included:
Subscription includes:
Class content
Real-world projects
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Project reviews
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Proj. feedback from experienced reviewers
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Student Services
1-on-1 technical mentor
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Personal career coaching
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Interview preparations
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Github review
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Resume shared with 500+ employers
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Succeed with Personalized Services
We provide services customized for your needs at every step of your learning journey to ensure your success!
Experienced Project Reviewers
Individual 1-on-1 Mentorship
Personal Career Coach
Experienced Project Reviewers
Reviews By the numbers
2000+ project reviewers
1.8M projects reviewed
4.85/5 reviewer ratings
3 hour avg project review turnaround time
Reviewer Services
  • Personalized feedback
  • Unlimited submissions and feedback loops
  • Practical tips and industry best practices
  • Additional suggested resources to improve
Succeed with Personalized Services
We provide services customized for your needs at every step of your learning journey to ensure your success!
Project Reviewers
1-on-1 Mentors
Career Coaching
Experienced Project Reviewers
Reviews By the numbers
2000+ project reviewers
1.8M projects reviewed
4.85/5 reviewer ratings
3 hour avg project review turnaround time
Reviewer Services
  • Personalized feedback
  • Unlimited submissions and feedback loops
  • Practical tips and industry best practices
  • Additional suggested resources to improve

Learn with the best

Ortal Arel
Ortal Arel

Curriculum Lead

Ortal Arel has a PhD in Computer Engineering, and has been a professor and researcher in the field of applied cryptography. She has worked on design and analysis of intelligent algorithms for high-speed custom digital architectures.

Luis Serrano
Luis Serrano

Instructor

Luis was formerly a Machine Learning Engineer at Google. He holds a PhD in mathematics from the University of Michigan, and a Postdoctoral Fellowship at the University of Quebec at Montreal.

Jennifer Staab
Jennifer Staab

Instructor

Jennifer has a PhD in Computer Science and a Masters in Biostatistics; she was a professor at Florida Polytechnic University. She previously worked at RTI International and United Therapeutics as a statistician and computer scientist.

Juan Delgado
Juan Delgado

Content Developer

Juan is a computational physicist with a Masters in Astronomy. He is finishing his PhD in Biophysics. He previously worked at NASA developing space instruments and writing software to analyze large amounts of scientific data using machine learning techniques.

Grant Sanderson
Grant Sanderson

Instructor

Grant Sanderson is the creator of the YouTube channel 3Blue1Brown, which is devoted to teaching math visually, using a custom-built animation tool. He was previously a content creator for Khan Academy.

Mat Leonard
Mat Leonard

Instructor

Mat is a former physicist, research neuroscientist, and data scientist. He did his PhD and Postdoctoral Fellowship at the University of California, Berkeley.

Mike Yi
Mike Yi

Instructor

Mike is a Content Developer with a BS in Mathematics and Statistics. He received his PhD in Cognitive Science from the University of Irvine. Previously, he worked on Udacity's Data Analyst Nanodegree program as a support lead.

Juno Lee
Juno Lee

Instructor

As a data scientist at Looplist, Juno built neural networks to analyze and categorize product images, a recommendation system to personalize shopping experiences for each user, and tools to generate insight into user behavior.

Andrew Paster
Andrew Paster

Instructor

Andrew has an engineering degree from Yale, and has used his data science skills to build a jewelry business from the ground up. He has additionally created courses for Udacity’s Self-Driving Car Engineer Nanodegree program.

Student Reviews

4.4

(254)

5 stars
181
71.3%
4 stars
37
14.6%
3 stars
13
5.1%
2 stars
10
3.9%
1 stars
13
5.1%
Thirunavukarasu S.

Excellent program. Concepts were well explained. Videos are very clear. Projects also interesting. lot of practice for coding. Definitely will recommend to others. Program is very useful for who is starting with programming with python and also like to learn AI.

Melvin S.

Awesome

Akash A.

The Projects made me learn many new things which were unknown to me. This made me stronger in my skills and open for more job markets! Definitely worth paying the money!

Erick C.

It's awesome

Stephanie S.

Just super :)

Get started with

AI Programming with Python

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Learn
Learn everything you need to start building your own AI applications.
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Average Time
On average, successful students take 3 months to complete this Nanodegree program.
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Benefits include
  • Real-world projects from industry experts
  • 1-on-1 technical mentor
  • Personal career coach & career services

Best Deal!

3 months access
$1077 $399 $359 per month

Pay up-front and save! Switch to the monthly price afterwards if more time is needed.

Buy with payments as low as $90 per month at 0% APR.

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Pay as you go
$399per month

Life can be unpredictable. Get maximum flexibility to learn at your own pace.

Buy with payments as low as $90 per month at 0% APR.

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The Udacity Impact

Numbers don't lie. See what difference it makes in career searches.*

84%
Better Jobs

Career-seeking and job-ready graduates found a new, better job within six months of graduation.

$24,000
Salary Increase

Average salary increase for graduates who found a new, better job within six months of graduation.

Program Details

    PROGRAM OVERVIEW - WHY SHOULD I TAKE THIS PROGRAM?
  • Why should I enroll?

    AI-powered increases in safety, productivity, and efficiency are already improving our world, and the best is yet to come! As it becomes increasingly evident how impactful AI can be, demand for employees with AI skills increases—demand is in fact already skyrocketing.

    The AI Programming with Python Nanodegree program makes it easy to learn the in-demand skills employers are looking for. You’ll learn foundational AI programming tools (Python, NumPy, PyTorch) and the essential math skills (linear algebra and calculus) that will enable you to start building your own AI applications in just three months.

    Whether you’re seeking a full-time role in an AI-related field, want to start applying AI solutions in your current role, or simply want to start learning the defining technology of our time, this is the perfect place to get started.

  • What jobs will this program prepare me for?

    While this is an introductory course that is not designed to prepare you for a specific job, after completing this program, you should be proficient in the skills used in the AI Industry, including but not limited to Python, machine learning, etc. If you wish to prepare for a full-time AI-related career, we recommend enrolling in our Machine Learning Engineer Nanodegree program next.

  • How do I know if this program is right for me?

    Learning to program with Python, one of the most widely used languages in Artificial Intelligence, is the core of this program. You’ll also focus on neural networks—AI’s main building blocks. By learning foundational AI and math skills, you lay the groundwork for advancing your career—whether you’re just starting out, or readying for a full-time role.

    ENROLLMENT AND ADMISSION
  • What are the prerequisites for enrollment?

    Formal prerequisites include basic knowledge of algebra and basic programming in any language. You will also need to be able to communicate fluently and professionally in written and spoken English.

  • Do I need to apply? What are the admission criteria?

    No. This Nanodegree program accepts all applicants regardless of experience and specific background.

    TUITION AND TERM OF PROGRAM
  • How is this Nanodegree program structured?

    The AI Programming with Python Nanodegree program is comprised of content and curriculum to support two (2) projects. Once you subscribe to a Nanodegree program, you will have access to the content and services for the length of time specified by your subscription. We estimate that students can complete the program in three (3) months working 10 hours per week.

    Each project will be reviewed by the Udacity reviewer network. Feedback will be provided and if you do not pass the project, you will be asked to resubmit the project until it passes.

  • How long is this Nanodegree program?

    Access to this Nanodegree program runs for the length of time specified in your subscription plan. See the Terms of Use and FAQ for other policies around the terms of access to our Nanodegree programs.

  • Can I get a refund?

    Please see the Udacity Nanodegree program FAQs found here for policies on enrollment in our programs.

  • I have graduated from the AI programming with Python program but I want to keep learning. Where should I go from here?

    Our graduates can continue on to our Machine Learning, Deep Learning, or Artificial Intelligence Nanodegree programs.

    SOFTWARE AND HARDWARE - WHAT DO I NEED FOR THIS PROGRAM?
  • What software and versions will I need in this program?

    We’ll teach you how to install all the software required. Virtually any 64-bit operating system with at least 8GB of RAM will be suitable. Udacity does not provide any hardware.

AI Programming with Python